摘要
目的系统评价人工智能(Artificial Intelligence,AI)技术在护理教育中的应用效果,为AI与护理教育融合提供循证依据。方法计算机检索中国知网、万方、维普、中国生物医学文献数据库、PubMed、Web of Science、Cochrane Library、Embase、CINAHL数据库,检索从建库至2025年4月发表的关于AI技术在护理教育中应用的随机对照试验和类实验研究,经过文献筛选、质量评价、资料提取后,采用RevMan 5.4进行Meta分析。结果共纳入15篇文献,总样本量1892名。Meta分析显示,AI辅助教学可提高学生知识水平[SMD=0.92,95%CI(0.49,1.35),P<0.001]、实践能力[SMD=0.93,95%CI(0.27,1.59),P=0.006]及满意度[SMD=0.98,95%CI(0.44,1.51),P<0.001],对临床思维提升有积极作用[SMD=0.69,95%CI(0.15,1.23),P=0.010],但在沟通能力培养方面与传统教学无显著差异[SMD=-0.13,95%CI(-0.30,0.03),P=0.120]。结论AI辅助教学有助于提升护理学生知识水平、实践能力和满意度,但其对临床思维与沟通能力的影响需更多高质量研究验证。
Objective To systematically evaluate the application effect of artificial intelligence(AI)technology in nursing education,and to provide evidence-based reference for the integration of AI and nursing education.Methods Literature searching was conducted in nine Chinese and English databases,including CNKI,Wanfang,VIP,SinoMed,PubMed,Web of Science,Cochrane Library,Embase,and CINAHL.Randomized controlled trials and Quasi-experimental studies on the application of AI technology in nursing education from the establishment of the database to April 2025 were retrieved.After literature screening,quality evaluation,data extraction,and Meta-analysis were performed using software of RevMan 5.4.Results A total of 15 studies were included,with a total sample size of 1892.Meta-analysis showed that AI-assisted teaching significantly improved nursing students'knowledge level[SMD=0.92,95%CI(0.49,1.35),P<0.001],practical ability[SMD=0.93,95%CI(0.27,1.59),P=0.006],and satisfaction[SMD=0.98,95%CI(0.44,1.51),P<0.001].It also had a positive effect on improving clinical thinking[SMD=0.69,95%CI(0.15,1.23),P=0.010],though there was no significant difference in communication ability compared with traditional teaching[SMD=-0.13,95%CI(-0.30,0.03),P=0.120].Conclusion AI technology has significant effects on improving knowledge,practical ability,and satisfaction in nursing education,while its impact on clinical thinking and communication skills needs to be verified by more high-quality studies.
作者
步皓宁
常起航
王雪
于佳欣
安力彬
李文涛
BU Haoning;CHANG Qihang;WANG Xue;YU Jiaxin;AN Libin;LI Wentao
出处
《中华护理教育》
2025年第9期1057-1064,共8页
Chinese Journal of Nursing Education
关键词
护理教育
人工智能
系统评价
META分析
应用效果
Nursing education
Artificial intelligence
Systematic review
Meta-analysis
Application effect
